Pedestrian Classification with a 79 GHz Automotive Radar Sensor

Prophet R, Hoffmann M, Vossiek M, Sturm C, Ossowska A, Malik W, Lubbert U (2018)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2018

DOI: 10.23919/IRS.2018.8448161

Abstract

In this paper the classification of pedestrians with a 79 GHz automotive radar sensor is investigated. A suitable algorithm chain is described and tested with measurement data from various moving objects. Finally, an overview of the performance achieved with different classifiers is given.

Authors with CRIS profile

Robert Prophet Lehrstuhl für Hochfrequenztechnik (LHFT) Marcel Hoffmann Lehrstuhl für Hochfrequenztechnik (LHFT) Martin Vossiek Lehrstuhl für Hochfrequenztechnik (LHFT)

Involved external institutions

Valeo Schalter und Sensoren GmbH DE Germany (DE)

How to cite

APA:

Prophet, R., Hoffmann, M., Vossiek, M., Sturm, C., Ossowska, A., Malik, W., & Lubbert, U. (2018). Pedestrian Classification with a 79 GHz Automotive Radar Sensor. In Proceedings of the 19th International Radar Symposium.

MLA:

Prophet, Robert, et al. "Pedestrian Classification with a 79 GHz Automotive Radar Sensor." Proceedings of the 19th International Radar Symposium 2018.

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